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两类不同性质的高新技术研发及其机制
1、公益性高新技术和商业性高新技术
a.公益性高新技术,是指此类高新技术的开发意图和
成果应用主要集中于公益性方面.
B.商业性高新技术,是指此类高新技术的开发意图和成果应用主
要集中于商业性目的. 相似文献
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左移位结构(Left-dislocation)是英汉语共有的一种话题结构.由前提词加一个带共指词的命题构成.本文从语义学的角度,分析英汉左移位结构中前置词和共指词的语义类型的异同,发现汉语中充当对象,领属的前置词更常见,共指代词更丰富,共指代词为名词的现象更普遍,证实了汉语是一种典型的话题优先型语言.运用"可及性"理论对英汉LD的语用功能进行分析发现二者都具有语义突显的功能,体现出人类在实现左移位结构功能时在认知模式上的共性. 相似文献
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以海州湾常见优势藻种三角褐指藻(Phaeodactylum tricormutum)、海链藻(Thalassiosira weissflogii)为受试藻,考察了水环境中草甘膦致毒胁迫对二种藻生理特性的影响;同时以超氧化物歧化酶(SOD)活性、过氧化氢酶(CAT)活性及丙二醛(MDA)含量为指标,研究了这两种海洋微藻细胞内抗氧化系统对草甘膦胁迫的响应。低浓度的草甘膦(4.1 mg/L)对海链藻的生长促进作用显著,对三角褐指藻不显著;草甘膦可以降低这两种微藻叶绿素a的合成量,呈现质量浓度-剂量效应,且对三角褐指藻的毒性效应大于海链藻;草甘膦对这两种微藻的CAT活性、可溶性多糖含量和蛋白质含量均表现微弱抑制效应;低浓度草甘膦还可提高两种微藻的SOD活性和MDA含量。本文以提示农药污染对水环境的破坏,揭示海洋微藻类作为环境毒理学评价指标的潜在应用价值。 相似文献
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企业人力资源的柔性是通过功能、数量柔性两个角度进行衡量的。功能柔性指的是可以直接雇佣多种技能型的员工来进行实现的,同时也可以通过多样性技能的适应性、可转移性来实现。数量柔性指的是通过利用临时、非全时、季节性员工等方面的雇佣方式来改变公司应用人员的数量。如果两者间有一方降低或提高会导致另一方往反方面发展,这种关系就为替代关系;如果同时实施了两种柔性会比只使用其中一种柔性产生更大的结果影响,这样就为互补关系。 相似文献
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Unifying terminology usages which captures more term semantics is useful for event clustering. This paper proposes a metric of normalized chain edit distance to mine, incrementally, controlled vocabulary from cross-document co-reference chains. Controlled vocabulary is employed to unify terms among different co-reference chains. A novel threshold model that incorporates both time decay function and spanning window uses the controlled vocabulary for event clustering on streaming news. Under correct co-reference chains, the proposed system has a 15.97% performance increase compared to the baseline system, and a 5.93% performance increase compared to the system without introducing controlled vocabulary. Furthermore, a Chinese co-reference resolution system with a chain filtering mechanism is used to experiment on the robustness of the proposed event clustering system. The clustering system using noisy co-reference chains still achieves a 10.55% performance increase compared to the baseline system. The above shows that our approach is promising. 相似文献
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In the last few years hybrid generative discriminative approaches have received increasing attention and their capabilities have been demonstrated by several applications in different domains. Hybrid approaches allow the incorporation of prior knowledge about the nature of the data to classify. Past work on hybrid approaches has focused on Gaussian data, however, and less attention has been given to other kinds of non-Gaussian data which appear in many applications. In this article we introduce a class of generative kernels based on finite mixture models for non-Gaussian data classification. This particular class is based on the generalized Dirichlet distribution which have been shown to be effective to model this kind of data. We demonstrate the efficacy of the proposed framework on two challenging applications namely object detection and content-based image classification via the integration of color and spatial information. 相似文献
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With the increasing use of research paper search engines, such as CiteSeer, for both literature search and hiring decisions, the accuracy of such systems is of paramount importance. This article employs conditional random fields (CRFs) for the task of extracting various common fields from the headers and citation of research papers. CRFs provide a principled way for incorporating various local features, external lexicon features and globle layout features. The basic theory of CRFs is becoming well-understood, but best-practices for applying them to real-world data requires additional exploration. We make an empirical exploration of several factors, including variations on Gaussian, Laplace and hyperbolic-L1 priors for improved regularization, and several classes of features. Based on CRFs, we further present a novel approach for constraint co-reference information extraction; i.e., improving extraction performance given that we know some citations refer to the same publication. On a standard benchmark dataset, we achieve new state-of-the-art performance, reducing error in average F1 by 36%, and word error rate by 78% in comparison with the previous best SVM results. Accuracy compares even more favorably against HMMs. On four co-reference IE datasets, our system significantly improves extraction performance, with an error rate reduction of 6–14%. 相似文献
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内容分析与知识发现的比较研究 总被引:1,自引:0,他引:1
本文分别从产生背景、研究对象和研究方法等方面对内容分析和知识发现进行了比较研究,揭示了二者在隐性知识和信息预测等方面的异同,并认为随着网络技术的发展,二者将在网络数据分析中得到更为广泛的应用和结合。 相似文献
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